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In sampling theory there is an important relationship between sample size and accuracy which has an impact on the width of confidence intervals we can

In sampling theory there is an important relationship between sample size and accuracy which has an impact on the width of confidence intervals we can build around the sample mean. Specifically, as the sample size increases, the width of the Confidence Interval we are building will decrease on average. Yes or no?

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